Curriculum Vitae
Marcin Wojnarski

Contact

e-mail: mwojnars "at" ns.onet.pl
http://www.mimuw.edu.pl/~mwojnars/
LinkedIn profile

Education

• 2005 until present: Warsaw University, Faculty of Mathematics, Informatics and Mechanics, Warszawa
  PhD studies in Computer Science. Thesis on research methodology in machine learning and data mining.
• 2005: Warsaw University, Faculty of Mathematics, Informatics and Mechanics, Warszawa
  MSc degree in Computer Science
  BSc degree in Mathematics
• 2002 - 2008: Warsaw University, Faculty of Mathematics, Informatics and Mechanics, Warszawa
  MSc studies in mathematics
• 2002 - 2005: Warsaw University, Faculty of Mathematics, Informatics and Mechanics, Warszawa
  MSc studies in informatics
• 2000 - 2002: Jagiellonian University, Faculty of Mathematics, Physics and Computer Science, Kraków
  Undergraduate studies in informatics and mathematics

Work Experience

• 2009 until present: Founder & Head of TunedIT - The first experimentation and collaboration platform for data mining and machine learning researchers, with over 1,000 registered users.
  Achievements:
  • Organized IEEE International Conference on Data Mining 2010 Contest: Road Traffic Prediction for Intelligent GPS Navigation
  • Organized RSCTC 2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment. 226 participating teams
• 2009 until present: Architect & Developer of Debellor - Open source framework for large scala data mining in Java
• 2005 - 2009: Software Engineer & Researcher, Infobright Inc.. Warsaw, Poland and Toronto, Canada.
  Invented from scratch and implemented the market-leading compression algorithms for data warehousing, which achieve 1:40 compression ratios with high speed. Patent pending. See:
  • http://www.infobright.com/Products/Compression/
  • http://www.infobright.org/Blog/Entry/compression_characteristics_in_infobright/
• 2004 until present: Teaching Assistant, Warsaw University, Faculty of Mathematics, Informatics and Mechanics. Courses taught:
  • Artificial Intelligence and Decision Systems
  • Introduction to Evolutionary and Neural Computations
  • Information Theory
• 2004 - 2007: participation in the research grant 3T11C00226 Classifier Networks
  from the Ministry of Scientific Research and Information Technology, coordinator: prof. Andrzej Skowron
• 2003: participation in the research grant 8T11C02519 Methods for Synthesis of Approximate Concepts
  from the State Committee for Scientific Research, coordinator: prof. Andrzej Skowron

Honors and Awards

• 2003: 1^st prize (€5000) in the EUNITE 2003 Competition (EUropean Network on Intelligent TEchnologies for Smart Adaptive Systems): Prediction of product quality in glass manufacturing process
  Oulu, Finland [report]
  
• 2002: 1^st prize in EUNITE 2002 Competition: Modelling the Bank's Client Behavior
  Albufeira, Portugal [report]
  
• 2001: 2^nd prize in European Union Contest for Young Scientists
  Paper: M. Wojnarski, LTF-C - Neural Network for Solving Classification Problems
  Bergen, Norway
• 2000: Bronze medal in International Mathematical Olympiad
  Taejon, Republic of Korea

Other

• 2006: Netflix Prize $1M competition: for 2 months my solution was in the first 10, among 20,000 competitors at that time
• 2006: 2^nd prize in Contest for the Best Master Thesis in Informatics awarded by Polish Information Processing Society
• 2001: 3^rd prize in International Mathematics Competition for University Students
  Prague, Czech Republic
• 2000: 3^rd prize in Mathematical Olympiad
  Stalowa Wola, Poland
• 1999: 3^rd prize in Mathematical Olympiad
  Bielsko-Biała, Poland
• 1999: 4^th prize in International Baltic Way Mathematical Team Contest
  Reykjavik, Iceland
• 1999: 3^rd prize in Olympiad in Informatics
  Sopot, Poland
• 1999 - 2006: Scholarship of the Ministry of National Education for achievements in studies. Received in 6 years in a row
• 1999 - 2000: Scholarship of National Children's Fund for outstanding students

Publications

• M. Wojnarski, D. Hanken Kurtz: Paperity Central: An Open Catalog of All Scholarly Literature.
  In Research Ideas and Outcomes 2: e8462 (RIO), Mar 2016, DOI: https://doi.org/10.3897/rio.2.e8462 [online]
• B. Kostek, A. Kupryjanow, P. Zwan, W. Jiang, Z. Raś, M. Wojnarski, J. Swietlicka: Report of the ISMIS 2011 Contest: Music Information Retrieval.
  In Foundations of Intelligent Systems, LNCS 6804, Springer, 2011, pp. 715-724 [pdf]
• M. Wojnarski, P. Gora, H.S. Nguyen, J. Swietlicka, D. Zeinalipour: IEEE ICDM 2010 Contest: TomTom Traffic Prediction for Intelligent GPS Navigation.
  In The 10th IEEE International Conference on Data Mining Workshops (ICDMW) 2010, pp. 1372-1376 [pdf]
• M. Wojnarski, A. Janusz, H.S. Nguyen, J. Bazan, Luo C., Chen Z., Hu F., Wang G., Guan L., Luo H., Gao J., Shen Y., Nikulin V., Huang T.-H., McLachlan G.J., Bosnjak M. and Gamberger D.:
  RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment.
  In Rough Sets and Current Trends in Computing (RSCTC) 2010, LNAI 6086, Springer, Heidelberg, pp. 4-19 [pdf]
• M. Wojnarski, S. Stawicki, P. Wojnarowski: TunedIT.org: System for Automated Evaluation of Algorithms in Repeatable Experiments.
  In Rough Sets and Current Trends in Computing (RSCTC) 2010, LNAI 6086, Springer, Heidelberg, pp. 20-29 [pdf]
• A. Skowron, J. Bazan, M. Wojnarski: Interactive Rough-Granular Computing in Pattern Recognition.
  In Third International Conference on Pattern Recognition and Machine Intelligence (PReMI) 2009, New Delhi, India, pp. 92-97
• M. Wojnarski: Debellor: Open Source Modular Platform for Scalable Data Mining.
  In Recent Advances in Intelligent Information Systems (IIS) 2009, Kraków, Poland, pp. 669-682 [pdf]
• M. Wojnarski: Debellor: a Data Mining Platform with Stream Architecture.
  Transactions on Rough Sets IX, Lecture Notes in Computer Science, Vol. 5390, pp. 405-427. Springer-Verlag, 2008 [pdf]
• M. Wojnarski: Debellor: a Data Mining Platform with Stream Architecture.
  In International Conference on Concurrency, Specification and Programming, pp. 512-523, 2008
• M. Wojnarski: Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks.
  In European Conference on Machine Learning (ECML) 2007, Warsaw, Poland, Lecture Notes in Computer Science, Vol. 4701, pp. 765-772. Springer-Verlag, 2007 [pdf]
• M. Wojnarski: Absolute Contrasts in Face Detection with AdaBoost Cascade.
  In Rough Sets and Knowledge Technology (RSKT) 2007, Toronto, Canada, Lecture Notes in Computer Science, Vol. 4481, pp. 174-180. Springer-Verlag, 2007 [pdf]
• M. Wojnarski: Unsupervised learning of image recognition with Neural Society for Clustering.
  In Rough Sets and Current Trends in Computing (RSCTC) 2006, Kobe, Japan, Lecture Notes in Artificial Intelligence, Vol. 4259, pp. 862-871. Springer-Verlag, 2006 [pdf]
• J. Bazan, M. Szczuka, A. Wojna, M. Wojnarski: On the Evolution of Rough Set Exploration System.
  In Rough Sets and Current Trends in Computing (RSCTC) 2004, Uppsala, Sweden, Lecture Notes in Artificial Intelligence, Vol. 3066, pp. 592-601. Springer-Verlag, 2004 [pdf]
• M. Wojnarski: LTF-C: Architecture, Training Algorithm and Applications of New Neural Classifier.
  Fundamenta Informaticae, Vol. 54(1), pp. 89-105. IOS Press, 2003 [pdf]
• M. Wojnarski: LTF-C - Neural Network for Solving Classification Problems.
  In Parallel Processing and Applied Mathematics (R. Wyrzykowski, et al., Eds.), Lecture Notes in Computer Science, Vol. 2328, pp. 643-651. Springer-Verlag, Berlin Heidelberg New York, 2002 [pdf]
• M. Wojnarski: Sieć neuronowa LTF-C w zastosowaniach.
  Software 2.0, Vol. 2, 2003, pp. 44-49

Reports

• M. Wojnarski: Prediction of product quality in glass manufacturing process using LTF-A neural network.
  EUNITE 2003 Competition, solution description [pdf]
• M. Wojnarski: Modeling the Bank Client's Behavior with LTF-C Neural Network.
  EUNITE 2002 Competition, solution description [pdf]

Patent applications

• Method and System for Data Compression in a Relational Database.
  Inventor. US Patent and Trademark Office, App. No. 20080071818
• Method and System for Storing, Organizing and Processing Data in a Relational Database.
  Inventor. US Patent and Trademark Office, App. No. 20080071748
• A Relational Database Management System (RDBMS) Utilizing Analytical Information About Data and Relationships within Data, and Methods for Using the Same.
  Inventor. US Patent and Trademark Office, provisional application, filed 2006

Membership

• IEEE Computational Intelligence Society
• International Neural Networks Society

Research interests

Neural Networks, Neuroscience, Computer Vision, Machine Learning, Evolutionary Computation

Hobby

Skiing, Mountains


Mont Blanc, July 2004

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